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City Wide Open Space — site photograph
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Corridor / Linear Parkcluster ·Underperforming / Leftover Spaces (enclosure-leaning)West Humber-Clairville (1)confidence moderatereal Toronto data

City Wide Open Space

Corridor / Linear Park, near the bottom of the city overall (score 25, rank ~11th percentile). Strongest: connectivity; weakest: edge activation.

Aerial — City of Toronto orthophoto, ~8 cm/px source · cached 5/9/2026

City Wide Open Space scores 24.8 / 100. Strongest dimensions: enclosure / eyes on park and connectivity. Weakest: amenity diversity (0). Border-vacuum risk is elevated (54). This score is a transparent reading of Jane Jacobs-style vitality factors — not a definitive judgment.

Best for:walking + cycling routeslinear social use

Area · 0.12 ha

Vitality Score
25/100

Weighted across six dimensions · confidence 57%

Data Confidence
24.8 / 100
Citywide
12th
of all 3,273 parks
Among Corridor / Linear Park
18th
same primary typology
Expected for similar parks
32
median in pocket Corridor / Linear Park (n=122)
Performance gap
-7
raw − expected · context confidence high
modest underperformer

Scores are not bell-curved. Percentiles and expected scores provide context without changing the underlying model.

Explain this score

Where did the 25 come from? Each weighted contribution against a neutral 50 baseline. Green = pushed up; red = pulled down.

Download JSON
What pushed this score up or down vs a neutral 50weight × score
Edge Activation0 · p9
-12.5
Amenity Diversity0 · p13
-10.0
Natural Comfort35 · p21
-2.3
Connectivity47 · p49
-0.6
Enclosure / Eyes on Park56 · p21
+0.6
Border Vacuum Risk54 (risk)
-0.4

Sum of contributions = the headline score. A negative bar means that dimension dragged the park below the city-wide neutral baseline.

Why this park works

City Wide Open Space doesn't have a clear standout dimension — the strongest measured signal is connectivity, and even that is below the city median.

What limits this park

City Wide Open Space is held back by edge activation (0, bottom quartile)— the surrounding streets carry too few active uses to spill into the park; border-vacuum risk is also elevated (54).

Most distinctive characteristic

Most distinctive feature: exceptionally low edge activation (0, bottom quartile).

Jacobs reading

City Wide Open Space is currently underperforming on both axes — neither integrated into the city nor offering deep natural respite. A candidate for design intervention.

Performance in context

  • Reads as a modest underperformer relative to comparable parks (gap -7; cohort: pocket Corridor / Linear Park).

Typology classification

confidence 75%
Corridor / Linear Park

Classified as Corridor / Linear Park: shape elongation 2.3× a circle of equal area

Edge Activation

25% weightpartial 60%
0.0 / 100

Within 100 m of the park edge: 3 active uses (transit_stop) and 7 dead/hostile uses (parking_lot, highway). Active edges keep "eyes on the park" through the day; parking lots, blank institutional walls, rail and highway frontages drain street life.

Source: OSM POIs (amenity/shop) + Toronto Building Footprints + land use

Connectivity

20% weightmeasured 85%
46.9 / 100

Connectivity blends paths, intersections, transit, entrances, and edge density. This park has 0 mapped paths/walkways and 7 sidewalk segments within 50 m; 5 street intersections within 100 m; 11 transit stops within a 400 m walk; 2 estimated access points across ~285 m of perimeter. low edge density — significant superblock penalty applied. Source coverage: centreline, pedestrian_network, transit_osm.

Streets within 25 m1
Intersections within 100 m5
Paths/walkways (50 m)0
Sidewalk segments (50 m)7
Transit stops (400 m)11
Estimated entrances2
Edge connections / 100 m perimeter0.35
Park perimeter285 m

Source: Toronto Centreline V2 + Pedestrian Network + OSM transit stops

Amenity Diversity

20% weightinferred 30%
0.0 / 100

No amenities recorded — score is 0 until inventory is loaded.

Source: Toronto Parks & Recreation Facilities + OSM amenity tags

Natural Comfort

15% weightinferred 36%
35.0 / 100

Natural-comfort components for this park: 0.0% estimated tree canopy; nearest waterbody ~193 m; 1 city-mapped trees inside the polygon (1.0/ha). Reading: water-cooled. Source coverage: waterbodies, street_trees. Impervious surface is approximated (Toronto's authoritative layer ships only as a raster GeoTIFF).

Canopy coverage0.0%
Canopy area0.00 ha
Inside ravine system0.0%
Water surface inside park0.0%
Nearest water (if outside park)193 m
Estimated green100.0%
City-mapped trees inside polygon1
Tree density1.0 / ha
Cover diversity (Shannon, 0–100)0.0
Sample points used8

Source: Toronto Treed Area + Ravine + Waterbodies + Street Tree Inventory

Enclosure / Eyes on Park

10% weightmeasured 80%
55.7 / 100

9 buildings within 25 m of the park edge (0 mid-rise, 9 low-rise, 0 tower); avg edge height 6.6 m (~2 floors); 3.2 buildings per 100 m of 285 m perimeter — strong frontage density; edges are low-rise (mostly 2–3 floors); no towers immediately adjacent. "Eyes on the park" come strongest from the 0 mid-rise edge buildings.

Buildings within 25 m9
Buildings within 50 m9
Avg edge height6.6 m (~2 floors)
Tallest edge building8.5 m
Mid-rise (3–7 floors)0
Low-rise (< 3 floors)9
Towers (≥ 13 floors)0
Frontage density3.16 per 100 m perimeter
Mid-rise share of edge0%
Tower share of edge0%
Blank-edge share (proxy)0%
Park perimeter285 m

Source: Toronto 3D Massing (building footprints + heights)

Border Vacuum Risk

10% weightpartial 60%
54.0 risk

Border-vacuum factors within 50 m of the park: parking_lot, Highway 27, parking_lot. Jacobs warned that highways, rail, parking lots and blank institutional edges act as "vacuums" — they suppress foot traffic and isolate the park from its neighbourhood.

Source: Toronto Street Centreline (highways) + rail layer + OSM landuse + building footprints

Equity Context

contextinferred 15%
50.0 / 100

Equity Context requires inputs not yet loaded for this park (Toronto Neighbourhood Profiles). Score is held at a neutral 50 with low confidence — read with caution.

Source: Toronto Neighbourhood Profiles

Amenities (0)

No amenities recorded for this park.

Nearby active-edge features (20)

  • transit stop — Queen's Plate Drive at Janda Court17 m
  • parking lot28 m
  • highway — Highway 2738 m
  • parking lot46 m
  • highway — Highway 2766 m
  • highway — Highway 2766 m
  • transit stop — Queen's Plate Drive at Janda Court76 m
  • parking lot84 m
  • transit stop — Queen's Plate Drive at Highway 2790 m
  • parking lot97 m
  • parking lot119 m
  • parking lot125 m
  • transit stop — Queen's Plate Drive at Highway 27130 m
  • transit stop — Highway 27 at Queens Plate Drive (Woodbine Mall)137 m
  • retail — Waypoint Woodbine157 m
  • transit stop — Highway 27 at Queens Plate Drive (Woodbine Mall)162 m
  • highway — Highway 27163 m
  • parking lot167 m
  • transit stop167 m
  • transit stop — Queen's Plate Drive at Triple Crown Avenue174 m

Park profile

Five-axis radar across the structural dimensions.

Edge ActivationConnectivityAmenity DiversityNatural ComfortEnclosureCity Wide Open Space

Citywide percentile ranks

Across all Toronto parks in the dataset.

  • Overall vitality
    11th
  • Edge activation
    9th
  • Connectivity
    49th
  • Amenity diversity
    13th
  • Natural comfort
    21th
  • Enclosure
    21th

Most similar parks

Closest in metric space across the five structural dimensions.

Most opposite parks

Furthest in metric space — useful for recognising what kind of park this isn’t.

Human activity signals — not available

No activity signals have landed for this park yet. The model has scored its physical form but it can’t yet say how often it’s programmed, photographed, or walked through. See /data-ethics for what we will and will not collect.

Does this score feel accurate?

Your read of City Wide Open Spacematters. We’re testing whether the model lines up with how people actually use the park. Submissions are stored locally; no account needed.

Tell us how this park feels

We measure structure (canopy, edges, connectivity). You measure feeling. Both matter — and disagreement is itself useful civic data.

Rate this park on as many dimensions as you have an opinion about. 1 = not at all · 5 = strongly. Skip the ones you don't feel sure about. Aggregated only — no comments stored at the row level.

feels socially active
feels comfortable
feels safe
feels connected
feels welcoming
feels ecological / natural
feels good for lingering
feels family-friendly
feels culturally important

What would improve this park?

Generated from the weakest measured dimensions — a starting point, not a prescription.

  • Activate the edges: encourage cafés, retail or community uses on the streets that face the park; replace blank or parking-lot edges where possible.
  • Add or open more entrances and improve sidewalk continuity around the park. More permeability means more spontaneous use.
  • Diversify what people can do in the park — playground, washroom, water, shade, performance, sport, garden — even small additions raise this score.
  • Increase canopy and reduce paved area. Shade and water features extend usable hours and seasons.
  • Mitigate border vacuums (highways, rail, parking) with active programming on the still-permeable edges and treat the hostile edge as a design challenge.

Data sources

  • City of Toronto Open Data — Parks (Green Space)
    Polygon boundaries, official names, types.
  • Parks & Recreation Facilities
    Inventory of in-park amenities (washrooms, fields, rinks…).
  • Toronto Pedestrian Network
    Sidewalk segments around and through parks; estimated park entrances.
  • Toronto Centreline V2
    Street segments + intersection nodes near park edges; trails and walkways.
  • Toronto 3D Massing
    Building footprints + heights for edge-building counts, frontage density, and tower-in-the-park risk.
  • Toronto Treed Area
    Tree canopy share inside park polygons via stratified-grid sampling.
  • Toronto Waterbodies & Rivers
    Water surface inside parks + nearest-water distance for cooling.
  • Ravine & Natural Feature Protection
    Ravine overlap as a cooling / natural-comfort signal.
  • Toronto Street Tree Inventory
    Tree count + density inside park polygons.
  • Neighbourhood Profiles
    (Pending) Equity context proxy.
  • OpenStreetMap (Overpass API)
    Cafés, restaurants, retail, transit stops, parking, highways, rail.